<?xml version="1.0" encoding="UTF-8"?>
<!--
Objective:
Test pre-processing step converts CTAS with multiple ordered-set aggs into NLJ
joining GbAgg expression containing different ordered aggs split to gp_percentile

CREATE EXTENSION gp_percentile_agg;
SET optimizer_enable_orderedagg=on;
CREATE TABLE foo1(a int, b int, c int);
INSERT INTO foo1 SELECT i,i,i FROM generate_series(1,100)i;
ANALYZE foo1;

EXPLAIN CREATE TABLE test AS
  SELECT
	ARRAY[percentile_cont(0.25) WITHIN GROUP(ORDER BY a), percentile_cont(0.25) WITHIN GROUP(ORDER BY b), percentile_cont(0.25) WITHIN GROUP(ORDER BY c)] first_quartile,
	ARRAY[percentile_cont(0.5) WITHIN GROUP(ORDER BY a), percentile_cont(0.5) WITHIN GROUP(ORDER BY b), percentile_cont(0.5) WITHIN GROUP(ORDER BY c)] median_quartile,
	ARRAY[percentile_cont(0.75) WITHIN GROUP(ORDER BY a), percentile_cont(0.75) WITHIN GROUP(ORDER BY b), percentile_cont(0.75) WITHIN GROUP(ORDER BY c)] third_quartile
  FROM foo1;

                                                   QUERY PLAN
 Result  (cost=0.00..0.00 rows=0 width=0)
   ->  Result  (cost=0.00..2778516240645.43 rows=1 width=24)
         ->  Result  (cost=0.00..2778516240645.39 rows=1 width=24)
               ->  Sequence  (cost=0.00..2778516240645.39 rows=1 width=72)
                     ->  Shared Scan (share slice:id 0:0)  (cost=0.00..431.01 rows=34 width=1)
                           ->  Materialize  (cost=0.00..431.01 rows=34 width=1)
                                 ->  GroupAggregate  (cost=0.00..431.01 rows=34 width=12)
                                       Group Key: foo1_2.a
                                       ->  Sort  (cost=0.00..431.00 rows=34 width=4)
                                             Sort Key: foo1_2.a
                                             ->  Seq Scan on foo1 foo1_2  (cost=0.00..431.00 rows=34 width=4)
                     ->  Sequence  (cost=0.00..2778516240214.39 rows=1 width=72)
                           ->  Shared Scan (share slice:id 0:1)  (cost=0.00..431.01 rows=34 width=1)
                                 ->  Materialize  (cost=0.00..431.01 rows=34 width=1)
                                       ->  GroupAggregate  (cost=0.00..431.01 rows=34 width=12)
                                             Group Key: foo1_1.b
                                             ->  Sort  (cost=0.00..431.01 rows=34 width=4)
                                                   Sort Key: foo1_1.b
                                                   ->  Redistribute Motion 3:3  (slice12; segments: 3)  (cost=0.00..431.00 rows=34 width=4)
                                                         Hash Key: foo1_1.b
                                                         ->  Seq Scan on foo1 foo1_1  (cost=0.00..431.00 rows=34 width=4)
                           ->  Sequence  (cost=0.00..2778516239783.38 rows=1 width=72)
                                 ->  Shared Scan (share slice:id 0:2)  (cost=0.00..431.01 rows=34 width=1)
                                       ->  Materialize  (cost=0.00..431.01 rows=34 width=1)
                                             ->  GroupAggregate  (cost=0.00..431.01 rows=34 width=12)
                                                   Group Key: foo1.c
                                                   ->  Sort  (cost=0.00..431.01 rows=34 width=4)
                                                         Sort Key: foo1.c
                                                         ->  Redistribute Motion 3:3  (slice11; segments: 3)  (cost=0.00..431.00 rows=34 width=4)
                                                               Hash Key: foo1.c
                                                               ->  Seq Scan on foo1  (cost=0.00..431.00 rows=34 width=4)
                                 ->  Redistribute Motion 1:3  (slice10; segments: 1)  (cost=0.00..2778516239352.37 rows=1 width=72)
                                       ->  Nested Loop  (cost=0.00..2778516239352.37 rows=1 width=72)
                                             Join Filter: true
                                             ->  Nested Loop  (cost=0.00..2712070296.42 rows=1 width=48)
                                                   Join Filter: true
                                                   ->  Aggregate  (cost=0.00..1324037.57 rows=1 width=24)
                                                         ->  Limit  (cost=0.00..1324037.57 rows=34 width=20)
                                                               ->  Gather Motion 3:1  (slice9; segments: 3)  (cost=0.00..1324037.57 rows=100 width=20)
                                                                     Merge Key: share1_ref3.b
                                                                     ->  Nested Loop  (cost=0.00..1324037.56 rows=34 width=20)
                                                                           Join Filter: true
                                                                           ->  Shared Scan (share slice:id 9:1)  (cost=0.00..431.00 rows=34 width=12)
                                                                           ->  Materialize  (cost=0.00..431.00 rows=1 width=8)
                                                                                 ->  Result  (cost=0.00..431.00 rows=1 width=8)
                                                                                       ->  Broadcast Motion 1:3  (slice8; segments: 1)  (cost=0.00..431.00 rows=3 width=8)
                                                                                             ->  Aggregate  (cost=0.00..431.00 rows=1 width=8)
                                                                                                   ->  Gather Motion 3:1  (slice7; segments: 3)  (cost=0.00..431.00 rows=1 width=8)
                                                                                                         ->  Aggregate  (cost=0.00..431.00 rows=1 width=8)
                                                                                                               ->  Shared Scan (share slice:id 7:1)  (cost=0.00..431.00 rows=34 width=8)
                                                   ->  Materialize  (cost=0.00..1324037.57 rows=1 width=24)
                                                         ->  Aggregate  (cost=0.00..1324037.57 rows=1 width=24)
                                                               ->  Limit  (cost=0.00..1324037.57 rows=34 width=20)
                                                                     ->  Gather Motion 3:1  (slice6; segments: 3)  (cost=0.00..1324037.57 rows=100 width=20)
                                                                           Merge Key: share0_ref3.a
                                                                           ->  Nested Loop  (cost=0.00..1324037.56 rows=34 width=20)
                                                                                 Join Filter: true
                                                                                 ->  Shared Scan (share slice:id 6:0)  (cost=0.00..431.00 rows=34 width=12)
                                                                                 ->  Materialize  (cost=0.00..431.00 rows=1 width=8)
                                                                                       ->  Broadcast Motion 1:3  (slice5; segments: 1)  (cost=0.00..431.00 rows=3 width=8)
                                                                                             ->  Result  (cost=0.00..431.00 rows=1 width=8)
                                                                                                   ->  Aggregate  (cost=0.00..431.00 rows=1 width=8)
                                                                                                         ->  Gather Motion 3:1  (slice4; segments: 3)  (cost=0.00..431.00 rows=1 width=8)
                                                                                                               ->  Aggregate  (cost=0.00..431.00 rows=1 width=8)
                                                                                                                     ->  Shared Scan (share slice:id 4:0)  (cost=0.00..431.00 rows=34 width=8)
                                             ->  Materialize  (cost=0.00..1324037.57 rows=1 width=24)
                                                   ->  Aggregate  (cost=0.00..1324037.57 rows=1 width=24)
                                                         ->  Limit  (cost=0.00..1324037.57 rows=34 width=20)
                                                               ->  Gather Motion 3:1  (slice3; segments: 3)  (cost=0.00..1324037.57 rows=100 width=20)
                                                                     Merge Key: share2_ref3.c
                                                                     ->  Nested Loop  (cost=0.00..1324037.56 rows=34 width=20)
                                                                           Join Filter: true
                                                                           ->  Shared Scan (share slice:id 3:2)  (cost=0.00..431.00 rows=34 width=12)
                                                                           ->  Materialize  (cost=0.00..431.00 rows=1 width=8)
                                                                                 ->  Broadcast Motion 1:3  (slice2; segments: 1)  (cost=0.00..431.00 rows=3 width=8)
                                                                                       ->  Result  (cost=0.00..431.00 rows=1 width=8)
                                                                                             ->  Aggregate  (cost=0.00..431.00 rows=1 width=8)
                                                                                                   ->  Gather Motion 3:1  (slice1; segments: 3)  (cost=0.00..431.00 rows=1 width=8)
                                                                                                         ->  Aggregate  (cost=0.00..431.00 rows=1 width=8)
                                                                                                               ->  Shared Scan (share slice:id 1:2)  (cost=0.00..431.00 rows=34 width=8)
 Optimizer: Pivotal Optimizer (GPORCA)
(81 rows)
-->
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</dxl:DXLMessage>
